Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

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Abstract: Periodic repetitive tasks are common in industrial production, especially in intelligent equipment for batch processing. This paper studies the disturbance suppression problem of linear ...

Timing is such a critical factor in avoiding major downturns and loss of capital, that few investors ever achieve promised ...

Or, if simply purchasing a gift feels like playing it too safe, with a little creativity you can come up with gifts that aren’t just another thing to put in their home or kitchen, but a thoughtful ...

Many family dinners are planned ahead of time after pulling a delicious-sounding recipe out of a cookbook and making a detailed grocery list. But there are plenty of nights when this home cook just ...

Abstract: Indoor localization is drawing more and more attentions due to the growing demand of various location-based services, where fingerprinting is a popular data driven techniques that does not ...